Senior Product Marketing Manager, AI Infrastructure

• Product marketing and go-to-market launches across NVIDIA's AI infrastructure portfolio - data center GPUs, rack-scale systems including MGX and NVL platforms, and full AI factory reference designs
• Building positioning that connects silicon to system to data center translating GPU, CPU, DPU and networking capabilities into the rack-level and factory-level outcomes customers buy
• Telling the full-stack story: how extreme co-design across compute, networking, memory, power, cooling and software produces results no single component can
• Working with NVIDIA Engineering, Sales, Creative and Product Management teams to build web content, launch materials, keynote content and marketing assets for agentic AI and high-performance computing applications
• Engaging with engineering teams to understand technical details and identify the key value propositions worth positioning
• Developing and defending performance and efficiency claims - establishing baselines, verifying figures across sources, and keeping them consistent from datasheet to press release to keynote
• Supporting press briefings, analyst engagements and executive content, including messaging documents, Q&A and FAQ for technical audiences
• Partnering with OEM, ODM, cloud and ecosystem teams on joint positioning and launch moments
• Evangelizing new approaches to marketing AI infrastructure to internal and external, technical and business audiences
• Highlighting the economics that decide AI factory investment - tokens per dollar and performance per watt at rack and factory scale

• Bachelor's or Master's degree in engineering (or equivalent experience)
• 12+ years of relevant work experience
• Background and prior work experience in the data center marketing or AI infrastructure space required
• Working knowledge of data center infrastructure beyond the accelerator - rack architecture, power delivery, cooling, interconnect and the constraints that shape deployment
• Strong mix of technical knowledge and business intelligence, and comfort engaging marketing, engineering and product management teams
• Past success working across major internal functional areas
• Proven track record of conversing with engineering teams to extract key value propositions
• Ability to translate AI factory technical concepts and value propositions in a clear, concise and articulate fashion to a range of audiences - general press, analysts, technical press, sales, and end customers
• Demonstrated rigor with technical claims and competitive positioning

• Agentic AI, inference at scale, deep learning, and NVIDIA GPU experience
• Understanding of agentic workloads and what they demand of infrastructure - tool calling, orchestration, long-context inference and the CPU, memory and networking behavior around them
• Experience with rack-scale or data center infrastructure - liquid cooling, high-voltage power distribution, or open standards work such as OCP
• Experience positioning infrastructure as an investment - TCO modeling, ROI narratives, or working with customers on deployment and financing economics
• Experience building executive-level and press-facing content under launch timelines

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive product marketing teams are rapidly growing. If you're a creative and autonomous performer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD - 287,500 USD for Level 5; and 224,000 USD - 356,500 USD for Level 6. You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.